mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 09:57:26 +03:00
66 lines
1.8 KiB
Python
66 lines
1.8 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
import re
|
|
|
|
from ...matcher import Matcher
|
|
|
|
import pytest
|
|
|
|
pattern1 = [{'ORTH':'A','OP':'1'},{'ORTH':'A','OP':'*'}]
|
|
pattern2 = [{'ORTH':'A','OP':'*'},{'ORTH':'A','OP':'1'}]
|
|
pattern3 = [{'ORTH':'A','OP':'1'},{'ORTH':'A','OP':'1'}]
|
|
pattern4 = [{'ORTH':'B','OP':'1'},{'ORTH':'A','OP':'*'},{'ORTH':'B','OP':'1'}]
|
|
pattern5 = [{'ORTH':'B','OP':'*'},{'ORTH':'A','OP':'*'},{'ORTH':'B','OP':'1'}]
|
|
|
|
re_pattern1 = 'AA*'
|
|
re_pattern2 = 'A*A'
|
|
re_pattern3 = 'AA'
|
|
re_pattern4 = 'BA*B'
|
|
re_pattern5 = 'B*A*B'
|
|
|
|
@pytest.fixture
|
|
def text():
|
|
return "(ABBAAAAAB)."
|
|
|
|
@pytest.fixture
|
|
def doc(en_tokenizer,text):
|
|
doc = en_tokenizer(' '.join(text))
|
|
return doc
|
|
|
|
@pytest.mark.xfail
|
|
@pytest.mark.parametrize('pattern,re_pattern',[
|
|
(pattern1,re_pattern1),
|
|
(pattern2,re_pattern2),
|
|
(pattern3,re_pattern3),
|
|
(pattern4,re_pattern4),
|
|
(pattern5,re_pattern5)])
|
|
def test_greedy_matching(doc,text,pattern,re_pattern):
|
|
"""
|
|
Test that the greedy matching behavior of the * op
|
|
is consistant with other re implementations
|
|
"""
|
|
matcher = Matcher(doc.vocab)
|
|
matcher.add(re_pattern,None,pattern)
|
|
matches = matcher(doc)
|
|
re_matches = [m.span() for m in re.finditer(re_pattern,text)]
|
|
for match,re_match in zip(matches,re_matches):
|
|
assert match[1:]==re_match
|
|
|
|
@pytest.mark.xfail
|
|
@pytest.mark.parametrize('pattern,re_pattern',[
|
|
(pattern1,re_pattern1),
|
|
(pattern2,re_pattern2),
|
|
(pattern3,re_pattern3),
|
|
(pattern4,re_pattern4),
|
|
(pattern5,re_pattern5)])
|
|
def test_match_consuming(doc,text,pattern,re_pattern):
|
|
"""
|
|
Test that matcher.__call__ consumes tokens on a match
|
|
similar to re.findall
|
|
"""
|
|
matcher = Matcher(doc.vocab)
|
|
matcher.add(re_pattern,None,pattern)
|
|
matches = matcher(doc)
|
|
re_matches = [m.span() for m in re.finditer(re_pattern,text)]
|
|
assert len(matches)==len(re_matches)
|